Application of Metabonomics Approach in Food Safety Research-A Review

References

• NHC. Food Safety Law of the People's Republic of China. http://www.nhc.gov.cn/fzs/s3576/201808/cd0531ee51074b65a18e2ce341389a20.shtml (Accessed Apr. 25, 2015)
   Google Scholar
• He, L. M.; Su, Y. J.; Fang, B. H.; Shen, X. G.; Zeng, Z. L.; Liu, Y. H. Determination of Sudan Dye Residues in Eggs by Liquid Chromatography and Gas –chromatography Mass Spectrometry. Anal. Chim. Acta. 2007, 594, 139–146. DOI: 10.1016/j.aca.2007.05.021.
   Google Scholar
• Liu, S. J.; Cui, Y.; Shi, M.; Zhang, B.; Guo, J. Z. Simultaneous Determination of 24 β2-agonists in Animal Derived Food by Solid Phase Extraction Isotopes-dilution Technique and Ultra Performance Liquid Chromatography-tandem Mass Spectrometry. J. Food Saf. Qual. 2015, 6(5), 1726–1734.
   Google Scholar
• South China Morning Post (SCMP) Editorial. ‘Gutter Oil’ Scandal Shows Why We Must Keep Track of the Food Chain. 2014. http://www.scmp.com/comment/insight-opinion/article/1593363/gutter-oil-scandal-shows-why-we-must-keep-track-food-chain (Accessed Oct 28, 2015).
   Google Scholar
• Kim, T. H.; Ahn, M. Y.; Lim, H. J.; Lee, Y. J.; Shin, Y. J.; De, U.; Lee, J.; Lee, B. M.; Kim, S.; Kim, H. S. Evaluation of Metabolomic Profiling against Renal Toxicity in Sprague–Dawley Rats Treated with Melamine and Cyanuric Acid. Arch. Toxicol. 2012, 86, 1885–1897. DOI: 10.1007/s00204-012-0910-7.
   Google Scholar
• Hung, B. P. China’s Tainted Infant Formula: What WHO Should Do. BMJ. 2008, 13, 337.
   Google Scholar
• Guan, N.; Fan, Q.; Ding, J.; Zhao, Y.; Lu, J.; Ai, Y.; Xu, G.; Zhu, S.; Yao, C.; Jiang, L.; et al. Melamine-contaminated Powdered Formula and Urolithiasis in Young Children. New Engl. J. Med. 2009, 360, 1067–1074. DOI: 10.1056/NEJMoa0809550.
   Google Scholar
• Wang, X.Y.; Ren, J.H.; Wang, Z.; Weng, X.J.; Wang, R. Epidemiological characteristics of food poisoning events in China. Disease Surveillance. 2017, 33(05), 359-364..
   Google Scholar
• MOC. Compilation by Ministry of Commerce of the People’s Republic of China. 2019. http://wms.mofcom.gov.cn/article/zt_ncp/table/shipin_1712.pdf (Accessed Aug 07, 2019).
   Google Scholar
• Erik, T.; Johan, R.; Karl-Erik, H.; Magnus, Å. K. A Concept Study on Non-targeted Screening for Chemical Contaminants in Food Using Liquid Chromatography–mass Spectrometry in Combination with A Metabolomics Approach. Anal. Bioanal. Chem. 2013, 405, 1237–1243. DOI: 10.1007/s00216-012-6506-5.
   Google Scholar
• Li, Y. G.; Shan, Y.; Li, G. Y.; Zhang, J. H. Current Situation and Application Analysis of Detection Methods of Illegal Cooking Oil. Food Mach. 2012, 28(3), 262–265.
   Google Scholar
• Nicholson, J. K.; Wilson, I. D. Understanding ‘global’ Systems Biology: Metabonomics and the Continuum of Metabolism. Nat. Rev. Drug Discovery. 2003, 2, 668–676. DOI: 10.1038/nrd1157.
   Google Scholar
• Putri, S. P.; Nakayama, Y.; Matsuda, F.; Uchikata, T.; Kobayashi, S.; Matsubara, A.; Fukusaki, E. Current Metabolomics: Practical Applications. J. Biosci. Bioeng. 2013, 115(6), 579–589. DOI: 10.1016/j.jbiosc.2012.12.007.
   Google Scholar
• Lao, Y. M.; Jiang, J. G.; Yan, L. Application of Metabonomic Analytical Techniques in the Modernization and Toxicology Research of Traditional Chinese Medicine. Br. J. Pharmacol. 2009, 157, 1128–1141. DOI: 10.1111/j.1476-5381.2009.00257.x.
   Google Scholar
• Kuang, H.; Li, Z.; Peng, X. F.; Liu, L. Q.; Xu, L. G.; Zhu, Y. Y.; Wang, L. B.; Xu, C. L. Metabonomics Approaches and the Potential Application in Food Safety Evaluation. Crit. Rev. Food Sci. 2012, 52, 761–774. DOI: 10.1080/10408398.2010.508345.
   Google Scholar
• Cevallos-Cevallos, J. M.; Reyes-De-Corcuera, J. I.; Etxeberria, E.; Danyluk, M. D.; Rodrick, G. E. Metabolomic Analysis in Food Science: a Review. Trends Food Sci. Technol. 2009, 20, 557–566. DOI: 10.1016/j.tifs.2009.07.002.
   Google Scholar
• Lindon, J. C.; Holmes, E.; Bollard, M. E.; Stanley, E. S.; Nicolson, J. K. Metabonomics Technologies and Their Applications in Physiological Monitoring, Drug Safety Assessment and Disease Diagnosis. Biomarkers. 2004, 9, 1–31. DOI: 10.1080/13547500410001668379.
   Google Scholar
• Hall, R. D.; Brouwer, I. D.; Fitzgerald, M. A. Plant Metabolomics and Its Potential Application for Human Nutrition. Physiol. Plant. 2008, 132(2), 162–175. DOI: 10.1111/j.1399-3054.2007.00989.x.
   Google Scholar
• Wishart, D. S.;. Applications of Metabolomics in Drug Discovery and Development. Drugs R&D. 2008, 9(5), 307–322. DOI: 10.2165/00126839-200809050-00002.
   Google Scholar
• Kaddurah-Daouk, R.; Krishnan, K. R. R. Metabolomics: a Global Biochemical Approach to the Study of Central Nervous System Diseases. Neuropsychopharmacol. 2009, 34(1), 173–186. DOI: 10.1038/npp.2008.174.
   Google Scholar
• Yu, Y.; Cao, Y.; Chen, Y. M.; Wen, C.; Xu, Z. L. Plasma Metabonomics Study of Systemiclupus Erythematosus Based on Liquid Chromatography-mass Spectrometry. Chin. J. Chromatogr. 2010, 28, 644–648.
   Google Scholar
• Rochfort, S.;. Metabolomics Reviewed: a New “omics” Platform Technology for Systems Biology and Implications for Natural Products Research. J. Nat. Prod. 2005, 68, 1813–1820. DOI: 10.1021/np050255w.
   Google Scholar
• Cifuentes, A.;. Food Analysis and Foodomics. J. Chromatogr. A. 2009, 1216(43), 7109. DOI: 10.1016/j.chroma.2008.12.003.
   Google Scholar
• Hu, C. X.; Xu, G. W. Mass-spectrometry-based Metabolomics Analysis for Foodomics. Trac-Trends Anal. Chem. 2013, 52, 36–46. DOI: 10.1016/j.trac.2013.09.005.
   Google Scholar
• D’Alessandro, A.; Zolla, L. Foodomics to Investigate Meat Tenderness. Trac-Trends Anal. Chem. 2013, 52, 47–53. DOI: 10.1016/j.trac.2013.05.017.
   Google Scholar
• Giacometti, J.; Josic, D. Foodomics in Microbial Safety. Trac-Trends Anal. Chem. 2013, 52, 16–22. DOI: 10.1016/j.trac.2013.09.003.
   Google Scholar
• Jandrić, Z.; Roberts, D.; Rathor, M.N.; Abrahim, A.; Islam, M.; Cannavan, A. Assessment of fruit juice authenticity using UPLC-QTOF MS: A metabolomics approach. Food Chemistry. 2014, 148, 7-17. DOI: 10.1016/j.foodchem.2013.10.014.
   Google Scholar
• Puyana, M. C.; Pérez-Míguez, R.; Montero, L.; Herrero, M. Application of Mass Spectrometry Based Metabolomics Approaches for Foodsafety, Quality and Traceability. Trends Anal. Chem. 2017, 93, 102–118. DOI: 10.1016/j.trac.2017.05.004.
   Google Scholar
• Cubero-Leon, E.; De Rudder, O.; Maquet, A. Metabolomics for Organic Food Authentic: Resultsfrom a Long-term Field Study in Carrots. Food Chem. 2018, 239, 760–770. DOI: 10.1016/j.foodchem.2017.06.161.
   Google Scholar
• CAC. International food standards. Maximum Residue Limits (MRLs) and Risk Management Recommendations (RMRs) for Residues of Veterinary Drugs in Foods. CX/MRL 2-2018.Compilation by Codex Alimentarius Commission，2018.
   Google Scholar
• Antignac, J.P.; Pinel, G.; Bichon, E.; Monteau, F.; Courant, F.; Kieken, F.; Destrez, B. and Le Bizec, B. Proceedings of the Euro Residue VI Conference. Egmond aan Zee, The Netherlands. 2008, 19-21.
   Google Scholar
• Courant, F.; Pinel, G.; Bichon, E.; Monteau, F.; Antignac, J. P.; Bizec, B. L. Development of a Metabolomic Approach Based on Liquid Chromatography Higher Solution Mass Spectrometry to Screen for Clenbuterol Abuse in Calves. Analyst. 2009, 134, 1637–1646. DOI: 10.1039/b901813a.
   Google Scholar
• Regal, P.; Anizan, S.; Antignac, J. P.; Bizec, B. L.; Cepeda, A.; Fente, C. Metabolomic Approach Based on Liquid Chromatography Coupled to High Resolution Mass Spectrometry to Screen for the Illegal Use of Estradiol and Progesterone in Cattle. Anal. Chim. Acta. 2011, 700, 16–25. DOI: 10.1016/j.aca.2011.01.005.
   Google Scholar
• NHC. Food may be illegal to add non-food substances and the abuse of food additives varieties, Compilation by Ministry of Health of the People’s Republic of China. 2011. http://www.nhc.gov.cn/sps/s7892/201406/38e5c8a53615486888d93ed05ac9731a.shtml (Accessed April 22, 2011).
   Google Scholar
• Xie, G. X.; Zheng, X. J.; Qi, X.; Cao, Y.; Chi, Y.; Su, M. M.; Ni, Y.; Qiu, Y. P.; Liu, Y. M.; Li, H. K.; et al. Metabonomic Evaluation of Melamine-induced Acute Renal Toxicity in Rats. J. Proteome Res. 2010, 9, 125–133. DOI: 10.1021/pr900333h.
   Google Scholar
• Schnackenberg, L. K.; Sun, J. C.; Pence, L. M.; Bhattacharyya, S.; Da Costa, G. G.; Beger, R. D. Metabolomics Evaluation of Droxyproline as a Potential Marker of Melamine and Cyanuric Acid Nephrotoxicity in Male and Female Fischer F344 Rats. Food Chem. Toxicol. 2012, 50, 3978–3983. DOI: 10.1016/j.fct.2012.08.010.
   Google Scholar
• Wang, Y.; Jiang, Z. T.; Liang, Q. L.; Wang, Y. M.; Wang, M.; Luo, G. A. Metabonomics Research of the Influence of Melamine to the Urine Metabolism of the Children Based on UPLC -TOF-MS. Chem. J. Chin. Univ. 2010, 31, 57–60.
   Google Scholar
• ISAAA. Global Status of Commercialized Biotech/GM Crops: 2016. ISAAA Brief No. 52. ISAAA: Ithaca, NY.
   Google Scholar
• Ho, P. Food Safety Concerns and Biotechnology: Consumers’ Attitudes to Genetically Modified Products in Urban China. AgBioForum. 2004, 7(4), 158–175.
   Google Scholar
• Zdunczyk, Z. New Bioanalytical Technologies (“omics”) in the Evaluation of Biological Properties of Foods and Feeds. Pol. J. Nat. Sci. Supply. 2006, 3, 33–38.
   Google Scholar
• Chao, E.; Krewski, D. A Risk-based Classification Scheme for Genetically Modified Foods II: Graded Testing. Regul. Toxicol. Pharm. 2008, 52(3), 223–234. DOI: 10.1016/j.yrtph.2008.08.002.
   Google Scholar
• Zhou, J.; Ma, C. F.; Xu, H. L.; Yuan, K.; Lu, X.; Zhu, Z.; Wu, Y. G.; Xu, G. W. Metabolic Profiling of Transgenic Rice with cryIAc and Sck Genes: an Evaluation of Unintended Effects at Metabolic Level by Using GC-FID and GC–MS. J. Chromatogr. B. 2009, 877, 725–732. DOI: 10.1016/j.jchromb.2009.01.040.
   Google Scholar
• Catchpole, G. S.; Beckmann, M.; Enot, D. P.; Mondhe, M.; Zywicki, B.; Taylor, J.; Hardy, N.; Smith, A.; King, R. D.; Kell, D. B.; et al. Hierarchical Metabolomics Demonstrates Substantial Compositional Similarity between Genetically Modified and Conventional Potato Crops. Proc. Natl. Acad. Sci. U. S. A. 2005, 102(40), 14458–14462. DOI: 10.1073/pnas.0503955102.
   Google Scholar
• Kim, H. S.; Kim, S. W.; Park, Y. S. Metabolic Profiles of Genetically Modified Potatoes Using a Combination of Metabolite Fingerprinting and Multivariate Analysis. Biotechnol. Bioprocess Eng. 2009, 14(6), 738–747. DOI: 10.1007/s12257-009-0168-y.
   Google Scholar
• Chang, Y. W.; Zhao, C. X.; Zhu, Z.; Wu, Z.; Zhou, J.; Zhao, Y.; Lu, X.; Xu, G. Metabolic Profiling Based on LC/MS to Evaluate Unintended Effects of Transgenic Rice with cry1Ac and Sck Genes. Plant Mol. Biol. 2012, 78(4–5), 477–487. DOI: 10.1007/s11103-012-9876-3.
   Google Scholar
• Levandi, T.; Leon, C.; Kaijurand, M. Capillary Electrophoresis Time-Of-flight Mass Spectrometry for Comparative Metabolomics of Transgenic versus Conventional Maize. Anal. Chem. 2008, 80, 6329–6335. DOI: 10.1021/ac8006329.
   Google Scholar
• Gall, G. L.; Dupont, M. S.; Mellon, F. A.; Davis, L. A.; Collins, G. J.; Verhoeven, M. V. Characterization and Content of Flavonoid Glycosides in Genetically Modified Tomato (lycopersicon Esculentum) Fruits. J. Agric. Food Chem. 2003, 51, 2438–2446. DOI: 10.1021/jf025995e.
   Google Scholar
• Surowiec, I.; Fraser, P. D.; Patel, R.; Halket, J.; Bramley, P. M. Metabolomic Approach for the Detection of Mechanically Recovered Meat in Food Products. Food Chem. 2011, 125, 1468–1475. DOI: 10.1016/j.foodchem.2010.10.064.
   Google Scholar
• BMMA. British Meat Manufacturers Association Standard for the Preparation of Mechanically Separated Meat (MSM) Otherwise Commonly Known as Mechanically Recovered Meat. 1991, London: British Standards Institution.
   Google Scholar
• Hajimahmoodi, M.; Heyden, Y. V.; Sadeghi, N.; Jannat, B.; Oveisi, M. R.; Shahbazian, S. Gas-chromatographic Fatty-acid Fingerprints and Partial Least Squares Modeling as a Basis for the Simultaneous Determination of Edible Oil Mixtures. Talanta. 2005, 66, 1108–1116. DOI: 10.1016/j.talanta.2005.01.011.
   Google Scholar
• Lin, L. Y.; Xu, D. M.; Shen, X. H.; Zhang, Z. G.; Chen, L. P.; Wang, C. X. Traceability of the Wine in Bordeaux Region from France Based on Liquid Chromatography-quadrupole-time of Flight Tandem Mass Spectrometry. J. Food Saf. Qual. 2014, 5(9), 2649–2656.
   Google Scholar
• Fleury, M.; Charron, D.F.; Hot, J.D.; Allen, O.B.; Maarouf, A.R. A time series analysis of the relatuionship of ambient temperature and common bacterial enteric infections in two Canadian. Int. J. Biometeorol. 2006, 50, 385-391. DOI10.1007/s00484-006-0028-9. WHO. Building Capacity for Laboratory-based Surveillance, and Outbreak Detection and Response for Foodborne and Other Infectious Enteric Diseases, Compilation by WHO: Global Salm-Sury Progress Report (2000–2005). http://www.who.int/salmsurv/GSSProgressReport2005.pdf.
   Google Scholar
• Cevallos-Cevallos, J. M.; Danyluk, M. D.; Reyes-De-Corcuera, J. I. GC-MS Based Metabolomics for Rapid Simultaneous Detection of Escherichia coliO157: H7, Salmonella Typhimurium, Salmonellamuenchen, and Salmonellahartford in Ground Beef and Chicken. J. Food Sci. 2011, 76(4), 238–246. DOI: 10.1111/j.1750-3841.2011.02132.x.
   Google Scholar
• Nakai, S.; Wang, Z. H.; Dou, J.; Nakamura, S.; Ogawa, M.; Nakai, E.; Vanderstoep, J. Gas Chromatography/principal Component Similarity System for Detection of E. Coli and S. Aureus Contaminating Salmon and Hamburger. J. Agric. Food Chem. 1999, 47(2), 576–583. DOI: 10.1021/jf980750g.
   Google Scholar
• Siripatrawan, U.; Harte, B. R. Solid Phase Microextraction/gaschromatograph/mass Spectrometer Integrated with Chemometrics for Detection of Salmonella Typhimurium Contamination in a Packaged Fresh Vegetable. Anal. Chim. Acta. 2007, 581(1), 63–70. DOI: 10.1016/j.aca.2006.08.007.
   Google Scholar
• Xu, Y.; Cheng, W.; Winder, C. L.; Dunn, W. B.; Goodacre, R. Metabolic Profiling of Meat: Assessment of Pork Hygiene and Contamination with Salmonella Typhimurium. Analyst. 2011, 136(3), 508–514. DOI: 10.1039/c0an00394h.
   Google Scholar